Data Scientist

Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join PreludeSys as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization.

What Youll Do

As a Data Scientist at PreludeSys, you will:

• Design & Build AI Pipelines:

  Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation.

• Agentic Systems:

  Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives.

• LLM Engineering:

  Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making.

• System Modernization:

  Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data.

• Model Optimization:

  Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements.

• Cloud & Deployment:

  Orchestrate scalable AI services and workflows in cloud environments.

Your Skillset

Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. Must-haves include:

• Experience:

  5+ years in AI/ML solution design and development, with hands-on LLM integration.

• Technical Skills:

• Python Advanced proficiency for AI/ML development and orchestration.
• LLM Development Prompt engineering, chaining logic, context window management, API integration.
• Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems.
• RAG Vector databases, embeddings, and retrieval-augmented knowledge systems.
• Cloud Deployment and management of AI services, preferably on Microsoft Azure.

• Problem-Solving:

  Strong ability to debug, optimize, and scale AI-driven applications.

• Collaboration:

  Effective communication with cross-functional teams, product owners, and stakeholders.

Good to Have

• Experience with PCF or React for building intelligent front-end components.
• Contributions to open-source AI frameworks or research.

Certifications Preferred

• Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.

Why PreludeSys?

• Work on cutting-edge LLM-based AI projects with global impact.
• Collaborate with experts in AI, ML, and cloud technologies.
• Grow your career in an innovation-driven, learning-focused environment.